Nonparametric Stepwise Multiple Comparison Procedures
本文讨论了非参数多重比较，重点介绍了逐步程序，提出了Einot和Gabriel逐步全子集程序以及Newman-Keuls程序的非参数类比，并通过蒙特卡洛模拟比较了这些新程序与常用非逐步程序的I类错误率和成对功效。
Abstract Nonparametric multiple comparisons are discussed, with particular emphasis given to stepwise procedures. Nonparametric analogs of the stepwise all-subset procedure of Einot and Gabriel are presented, along with an ad hoc nonparametric analog of the Newman—Keuls procedure. These new procedures are compared among themselves and with nonstepwise procedures based on Type I error levels and comparisonwise power. It is shown that these stepwise nonparametric procedures control Type I error levels, and that they have superior pairwise power compared to the commonly used nonstepwise procedures. Key Words: Experimentwise error rateSimultaneous test procedureStepwise all-subset proceduresNewman—KeulsMonte Carlo